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Oqlo is a drone-tech company specializing in aerial surveying, digital twin creation, and geospatial analytics. Serving industries like construction, mining, agriculture, and infrastructure, Oqlo enables scalable, cost-efficient, and data-rich alternatives to traditional manual land surveys and inspections.
Conventional land and infrastructure surveys relied on manual fieldwork, demanding large teams, extended timelines, and high operational costs.
Surveying large-scale areas (often thousands of acres) generated massive geospatial datasets that were difficult to render and interact with in real-time.
Traditional site inspections lacked precision and consistency, often introducing human error and limiting the depth of structural analysis.
Legacy systems offered limited tools for volumetric analysis, terrain assessment, and documentation, making in-depth reporting difficult.
We leveraged drone-based aerial surveying and geospatial imaging to automate data capture, dramatically reducing costs, accelerating turnaround time, and minimizing manpower requirements.
We developed a high-performance spatial data streaming engine with intelligent chunk-based loading, which dynamically loads only the required point cloud or orthomosaic tile data. This optimized rendering performance and reduced memory usage, enabling seamless navigation and analysis across massive digital terrains.
Through advanced photogrammetry and LiDAR data integration, we enabled precise digital twin creation. These hyper-realistic 3D models allow users to perform virtual inspections, zoom into high-resolution textures, and analyze structural integrity without setting foot on-site.
We integrated a comprehensive geospatial analytics suite into the platform, featuring tools for cut and fill volume calculations, elevation heatmaps, contour mapping, distance and area measurement, and before/after survey comparisons. Users can also auto-generate shareable PDF reports and export GIS-ready datasets for further analysis.
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